Robotics

SoMo-RL is an open-source toolkit for developing and evaluating control policies for soft robots. Using the SoMo simulation framework and SoMoGym library, SoMo-RL permits experiments on, e.g., the effects of varying control and robot design parameters, and enables the use of RL for such systems. SoMo-RL builds off the functionality of SoMoGym, providing a straightforward system for training RL policies on SoMoGym environments, managing experiments at scale, and analyzing RL results. In SoMo-RL, experiments are highly customizable, allowing for complete modification of learning hyperparameters and environment parameters through a single configuration file.

Exploring the world of soft robotics is like stepping into a playground of imagination and innovation. With simulations, we can test ideas, tweak designs, and watch our creations come to life virtually before bringing them into the physical realm. Join the journey of discovery and creativity at https://whatsgrouplinks.pk/urdu-poetry-whatsapp-group-link-pakistan/.